This paper is in the following e-collection/theme issue:

Machine Learning (963) Clinical Information and Decision Making (863) Electronic Health Records (755) Decision Support for Health Professionals (703) Natural Language Processing (474) Artificial Intelligence (627) Secondary Use of Clinical Data for Research and Surveillance (249) Diabetes-specific EHR Improvements (19)

Published on in Vol 10 , No 6 (2022) :June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36958, first published .
Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation

Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation

Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation

Authors of this article:

Hao Yang 1 Author Orcid Image ;   Jiaxi Li 2 Author Orcid Image ;   Siru Liu 3 Author Orcid Image ;   Xiaoling Yang 4 Author Orcid Image ;   Jialin Liu 1, 5 Author Orcid Image
Article Authors Cited by Tweetations (5) Metrics
Hao Yang 1 * , MSc ;   Jiaxi Li 2 * , MSc ;   Siru Liu 3 , PhD ;   Xiaoling Yang 4 , MSc ;   Jialin Liu 1, 5 , MD

1 Information Center , West China Hospital , Sichuan University , Chengdu , CN

2 Department of Clinical Laboratory Medicine , Jinniu Maternity and Child Health Hospital of Chengdu , Chengdu , CN

3 Department of Biomedical Informatics , Vanderbilt University Medical Center , Nashville , TN , US

4 West China School of Nursing, Endocrinology and Metabolism Department , West China Hospital , Sichuan University , Chengdu , CN

5 Department of Medical Informatics , West China Medical School , Chengdu , CN

*these authors contributed equally

Corresponding Author:

  • Jialin Liu, MD
  • Information Center
  • West China Hospital
  • Sichuan University
  • No 37 Guoxue Road
  • Chengdu
  • CN
  • Phone: 86 28-85422306
  • Email: dljl8@163.com